systole.plotly.plot_raw¶
-
systole.plotly.plot_raw(signal: Union[pandas.core.frame.DataFrame, List, numpy.ndarray], sfreq: int = 75, type: str = 'ppg', ecg_method: Optional[str] = 'hamilton') → Figure[source]¶ Interactive visualization of PPG signal and systolic peaks detection.
- Parameters
- signal
pandas.DataFrame,numpy.ndarrayor list Dataframe of PPG or ECG signal in the long format. If a data frame is provided, it should contain at least one
'time'and one colum for signal(either'ppg'or'ecg'). If an array is provided, it will automatically create a DataFrame using the array as signal andsfreqas sampling frequency.- sfreqint
Signal sampling frequency. Default is set to 75 Hz.
- typestr
The type of signal provided. Can be
'ppg'(pulse oximeter) or'ecg'(electrocardiography). The peak detection algorithm used depend on the type of signal provided.- ecg_methodstr
Peak detection algorithm used by the
systole.detection.ecg_peaks()function. Can be one of the following: ‘hamilton’, ‘christov’, ‘engelse-zeelenberg’, ‘pan-tompkins’, ‘wavelet-transform’, ‘moving-average’. The default is ‘hamilton’.
- signal
- Returns
- raw
plotly.graph_objects.Figure Instance of
plotly.graph_objects.Figure.
- raw
See also
plot_events,plot_ectopic,plot_shortLong,plot_subspaces,plot_frequencyplot_timedomain,plot_nonlinear
Examples
Plotting PPG recording.
from systole import import_ppg from systole.plotly import plot_raw # Import PPG recording as pandas data frame ppg = import_ppg() # Only use the first 60 seconds for demonstration ppg = ppg[ppg.time<60] plot_raw(ppg)
Plotting ECG recording.
from systole import import_dataset1 from systole.plotly import plot_raw # Import PPG recording as pandas data frame ecg = import_dataset1(modalities=['ECG']) # Only use the first 60 seconds for demonstration ecg = ecg[ecg.time<60] plot_raw(ecg, type='ecg', sfreq=1000, ecg_method='pan-tompkins')
